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Documents related to » perspectives on data warehousing olap


Best Practices for a Data Warehouse on Oracle Database 11g
Companies are recognizing the value of an enterprise data warehouse (EDW) that provides a single 360-degree view of the business. But to ensure that your EDW

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Business Intelligence Status Report
Spurred by government mandates for more business transparency, business intelligence has emerged to extract information from ERP systems. How has BI emerged

perspectives on data warehousing olap  business information from multiple perspectives. Users are able to perform multi-dimensional analysis, slice-and-dice data sets, and drill-down to additional detail, all using integrated OLAP technology, whose analytical functionality should ideally be available whether users are connected to the Internet, through a mobile, or are working off-line. Data warehousing also led to the development of the concept of metadata management, whereby metadata is data about data, such as table and column names, and Read More...
Reporting Tools
Analysis and reporting services are an important part of the enterprise resource planning process. Microsoft Dynamics NAV has been designed to give users

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Contemporary Business Intelligence and Its Main Components
Business intelligence (BI) represents the tools and systems that play a key role in the strategic planning process by allowing a company to manipulate corporate

perspectives on data warehousing olap  and innovation and learning perspectives that formally connect overall objectives, strategies, and measurements (since each dimension may have goals and measurements). To make a clear difference between dashboards and scorecards (the terms are often confused or used interchangeably), a dashboard is a digital cockpit that produces a snapshot of a moment in time, which can be drilled through. Scorecarding is the process of comparing actual results to target results, and of discerning trends over a period Read More...
Business Performance Management Basics: An Overview of Business Performance Management and Its Benefits to the Organization
Business performance management (BPM) includes setting key performance indicators, using data mining to discover data patterns and using software to help drive

perspectives on data warehousing olap  creating a hierarchy of perspectives organized in descending order, according to measurability, urgency, and visibility. Also, cause and effect diagrams show relationships between different entities and performance in order to enable management to identify factors that may be causing low sales or other performance challenges. These are some of the tools offered by BPM software to help users analyze the appropriate data within the organization. Benefits of Using a BPM Solution BPM is the type of solution Read More...
Data Quality: Cost or Profit?
Data quality has direct consequences on a company''s bottom-line and its customer relationship management (CRM) strategy. Looking beyond general approaches and

perspectives on data warehousing olap  Quality: Cost or Profit? Market Overview In the past year, TEC has published a number of articles about data quality. ( Poor Data Quality Means A Waste of Money ; The Hidden Role of Data Quality in E-Commerce Success ; and, Continuous Data Quality Management: The Cornerstone of Zero-Latency Business Analytics .) This time our focus takes us to the specific domain of data quality within the customer relationship management (CRM) arena and how applications such as Interaction from Interface Software can Read More...
Operationalizing the Buzz: Big Data 2013
The world of Big Data is maturing at a dramatic pace and supporting many of the project activities, information users and financial sponsors that were once the

perspectives on data warehousing olap  Enterprise Management Associates, EMA, 9sight Consulting, big data, hybrid data ecosystem, real-time data, big data buzz, big data requirements, big data challenges, big data architecture Read More...
Data Mining with MicroStrategy: Using the BI Platform to Distribute Data Mining and Predictive Analytics to the Masses
Data mining and predictive analysis applications can help you make knowledge-driven decisions and improve efficiency. But the user adoption of these tools has

perspectives on data warehousing olap   Read More...
Meet PCI DSS Compliance Requirements for Test Data with Data Masking
Whether you’re working toward your first or your next payment card industry (PCI) data security standard (DSS) audit, you know compliance is measured on a

perspectives on data warehousing olap  PCI DSS Compliance Requirements for Test Data with Data Masking Whether you’re working toward your first or your next payment card industry (PCI) data security standard (DSS) audit, you know compliance is measured on a sliding scale. But full compliance can’t be achieved with just one policy or technology. Using data masking, a technology that alters sensitive information while preserving realism, production data can be eliminated from testing and development environments. Learn more. Read More...
Big Data Analytics: Profiling the Use of Analytical Platforms in User Organizations
While terabytes used to be synonymous with big data warehouses, now it’s petabytes, and the rate of growth in data volumes continues to escalate as

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MSI Data


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Data Storage in the Cloud--Can You Afford Not To?
In Data Storage in the Cloud Can You Afford Not To?

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ESG - Riverbed Whitewater: Optimizing Data Protection to the Cloud
Riverbed Whitewater leverages WAN optimization technology to provide a complete data protection service to the cloud. The appliance-based solution is designed

perspectives on data warehousing olap  - Riverbed Whitewater: Optimizing Data Protection to the Cloud Riverbed Whitewater leverages WAN optimization technology to provide a complete data protection service to the cloud. The appliance-based solution is designed to integrate seamlessly with existing backup technologies and cloud storage provider APIs. Read this ESG Lab report on hands-on testing of the Riverbed Whitewater appliance for ease of use, cost-effective recoverability, data assurance, and performance and scalability. Read More...
Linked Enterprise Data: Data at the heart of the company
The data silos of today''s business information systems (IS) applications, and the pressure from the current economic climate, globalization, and the Internet

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New Data Protection Strategies
One of the greatest challenges facing organizations is the protection of corporate data. The issues complicating data protection are compounded by increased

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